MS Fabric - 14th Aug (Friday)- 4-8 years-Virtual Interview - Pan India

Job description

- **Pipeline Orchestration:** **Use** **Fabric Data Factory** **to orchestrate Azure Databricks jobs ( Python scripts).** - **Lakehouse Implementation:** **Design and maintain using** **Delta Lake.** - **Data Integration:** **Land data from Databricks directly into** **Fabric OneLake** **or create shortcuts to access Databricks Delta files without moving data.** - **ETL/ELT Development:** **Develop high-performance processing applications using** **PySpark,** **Spark SQL, and** **Python.** **Key Technical Skills** - **Cloud Platforms:** **Deep expertise in the Azure Data Stack, specifically** **Azure Data Lake Storage (ADLS)** **and** **Azure Synapse.** - **Languages:** **Proficiency in** **Python,** **SQL, and occasionally** **Scala** **or** **Java** **for custom Spark development.** - **Fabric Tools:** **Hands-on experience with** **Fabric Lakehouse, Data Warehouse, and** **Power BI** **integration (Direct Lake mode).** - **DevOps:** **Familiarity with** **CI/CD pipelines** **(Azure DevOps/GitHub Actions) for automating data workload deployments. [1, 2, 3, 4, 5, 6, 7]** **Qualifications & Experience** - **Experience:** **Typically** **5++ years** **for mid-level and** **5-8+ years** **for SenioR Data Engineer roles.**